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Articles 1 - 18 of 18
Full-Text Articles in Data Science
Sentiment Analysis In Application To Behavior Prediction, Anna Singley
Sentiment Analysis In Application To Behavior Prediction, Anna Singley
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Ischaemic Hepatitis (Ih): Modeling Outcome Based On Ih Patients' Attributes, Madison Utterback, Christiana Beard
Ischaemic Hepatitis (Ih): Modeling Outcome Based On Ih Patients' Attributes, Madison Utterback, Christiana Beard
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Multidisciplinarity In Data Science Curricula, Hossana Twinomurinzi, Siyabonga Mhlongo, Kelvin J. Bwalya, Tebogo Bokaba, Steven Mbeya
Multidisciplinarity In Data Science Curricula, Hossana Twinomurinzi, Siyabonga Mhlongo, Kelvin J. Bwalya, Tebogo Bokaba, Steven Mbeya
African Conference on Information Systems and Technology
This paper sought to identify and compare disciplinary emphases in data science curricula across South Africa’s 26 public universities using a website scoping review method. The key findings reveal that only 12 of the 26 universities offer data science programmes that are publicly accessible on their websites. Of those 12, only 5 offer data science at the undergraduate level, and these undergraduate programmes are objectified (entirely leaning) to the science, technology, engineering, and mathematics (STEM) disciplines. Only seven of the universities offer a few non-STEM subjects with only one offering more non-STEM subjects compared to STEM subjects. The implications are …
A Transformer-Based Classification System For Volcanic Seismic Signals, Anthony P. Rinaldi, Cindy Mora Stock, Cristián Bravo Roman, Alexander Hemming
A Transformer-Based Classification System For Volcanic Seismic Signals, Anthony P. Rinaldi, Cindy Mora Stock, Cristián Bravo Roman, Alexander Hemming
Undergraduate Student Research Internships Conference
Monitoring volcanic events as they occur is a task that, to this day, requires significant human capital. The current process requires geologists to monitor seismographs around the clock, making it extremely labour-intensive and inefficient. The ability to automatically classify volcanic events as they happen in real-time would allow for quicker responses to these events by the surrounding communities. Timely knowledge of the type of event that is occurring can allow these surrounding communities to prepare or evacuate sooner depending on the magnitude of the event. Up until recently, not much research has been conducted regarding the potential for machine learning …
Investigation Of Key Factors To Earthquake Insurance Take-Up Rates In Quebec And British Columbia Households And Prediction Model Building, Yongcheng Jiang
Investigation Of Key Factors To Earthquake Insurance Take-Up Rates In Quebec And British Columbia Households And Prediction Model Building, Yongcheng Jiang
Undergraduate Student Research Internships Conference
Maintaining an adequate level of earthquake take-up rate could protect the insurance industry from systemic failure. Past research has shown that British Columbia and Quebec have significant differences in earthquake insurance take-up rate. This report investigates key factors from the structure (default options and various types) of the insurance plan and personal characteristics along with socioeconomic/demographic profiles that affect the demand for earthquake protection in the form of insurance. The report also provides a prediction model for earthquake insurance take-up rate. The results show an importance ranking of key factors of earthquake insurance take up, the most important three are …
Semantic Analysis Of Stock Market-Related Posts, Jiangqi Cui
Semantic Analysis Of Stock Market-Related Posts, Jiangqi Cui
Undergraduate Student Research Internships Conference
No abstract provided.
Financial Literacy: Self-Evaluation And Reality, Yangsijia Wang
Financial Literacy: Self-Evaluation And Reality, Yangsijia Wang
Undergraduate Student Research Internships Conference
This study is on the topic of financial literacy, with the data source containing information on clients' demographic information and self-evaluation, change in account value, and trade record, three major problems were investigated: first, whether a client's demographic traits are related to his/her self-evaluation of financial knowledge level; second, does the trading behaviour differ for clients who self-identified as in different financial knowledge groups; and third, do people who self-identified as financially knowledgeable have better investment result. Data manipulation was done using SQL and R. Exploratory analysis including multiple types of plots and proportion tables was used to derive the …
Inferring Dynamics Of Biological Systems, Tracey G. Oellerich
Inferring Dynamics Of Biological Systems, Tracey G. Oellerich
Biology and Medicine Through Mathematics Conference
No abstract provided.
Chattanooga Crime Over Time: An Analysis Of Police Incident Open Data, Logan Bateman
Chattanooga Crime Over Time: An Analysis Of Police Incident Open Data, Logan Bateman
Campus Research Day
The police and citizens of Chattanooga may want to know where the most crime occurs, what time of day is crime or police incidents most likely to occur over time. This information can help them understand the crime hotspots in the area. This research work presents a dashboard built upon open data in attempt to bring understanding and insights to the police and citizens about police incidents from the city of Chattanooga over the past five years.
*Interactive Earthquake Visualization With Open Data, Matous Hybl
*Interactive Earthquake Visualization With Open Data, Matous Hybl
Campus Research Day
Because earthquakes claim thousands of lives and billions of dollars yearly, there is a great need to recognize patterns in seismic data. While some tools for analysis exist, most geological software is expensive and open earthquake visualizations are limited. In this project, we provide accessible earthquake visualizations aimed to encourage geologists, and science enthusiasts in general, to explore open data using accessible, yet powerful, tools.
A Web User Interface Image Processing Tool For Classifying The Extent Of Dementia Across Alzheimer’S, Sathvik Prasad Palyam, Robin Ghosh
A Web User Interface Image Processing Tool For Classifying The Extent Of Dementia Across Alzheimer’S, Sathvik Prasad Palyam, Robin Ghosh
ATU Research Symposium
Alzheimer's disease (AD) is the most common form of dementia. This project used four image specifications to classify the dementia stages in each patient applying the CNN algorithm. Employing the CNN-based in silico model, the authors successfully classified and predicted the different AD stages and got around 97.19% accuracy. Later, a web interface tool was developed to educate doctors or researchers to check the patients' dementia level based on the MRI brain images and suggest symptoms that strengthen the predicted level of AI. A user uploads the brain scan, which is sent to the backend server, where the image is …
How Students Use The Services Available From Lindenwood Universities Library, Jennifer Sailor
How Students Use The Services Available From Lindenwood Universities Library, Jennifer Sailor
2022 Student Academic Showcase
Student Assessment Scholars took on the Library Services stakeholder proposal. Their goal was to find how students use the service available from Lindenwood Universities Library. Through evidence, it was found that students have a positive sentiment towards the Lindenwood’s Library Services. That the Students want longer hours, better marketing, and find one of the best services being the building itself. Lindenwood Universities Library Services are similar to the other schools in the athletic conference. Lindenwood University houses a Maker Lab, Career Services, and technology rentals like the other universities, but Lindenwood students were not aware of them. Overall, students were …
Mapping The Impact Of A Trailway System On The Amount Of Trash Present Within Two Watersheds Of Lynchburg City, Virginia, Lillian Smith
Mapping The Impact Of A Trailway System On The Amount Of Trash Present Within Two Watersheds Of Lynchburg City, Virginia, Lillian Smith
Student Scholar Showcase
Transportation of trash debris within water systems is a prominent occurrence which has been linked to natural and artificial processes such as wind, rain, and littering. Recreational areas, such as activities along greenway trails, have been determined to be a source of debris found in waterways. This study examines whether the presence of an established recreational trail system limits trash accumulation in the entirety of a watershed. Trash data collected at Blackwater Creek, which contains an established trail system, was compared to trash data collected at Fishing Creek, containing a non-established trail system, to answer this hypothesis. A distance of …
Building Interpretable Methods For Identifying Bridge Maintenance Patterns, Akshay Kale
Building Interpretable Methods For Identifying Bridge Maintenance Patterns, Akshay Kale
Computer Science Graduate Research Workshop
No abstract provided.
Objective Measure Of Working Memory Capacity Using Eye Movements, James Owens, Gavindya Jayawardena, Yasasi Abeysinghe, Vikas G. Ashok, Sampath Jayarathna
Objective Measure Of Working Memory Capacity Using Eye Movements, James Owens, Gavindya Jayawardena, Yasasi Abeysinghe, Vikas G. Ashok, Sampath Jayarathna
Undergraduate Research Symposium
Human-autonomy teaming (HAT) has become an important area of research due to the autonomous systems being developed for different applications, such as remotely controlled aircraft. Many remotely controlled vehicles will be controlled by automated systems, with a human monitor that may be monitoring multiple vehicles simultaneously. The attention and working memory capacity of operators of remote-controlled vehicles must be maintained at appropriate levels during operation. However, there is currently no direct method of determining working memory capacity, which is important because it is a measure for how memory is being stored for a short term and interacting with long term …
How Graduate Student Fellows Enhance What A Center For Digital Scholarship Does, Ben B. Chiewphasa
How Graduate Student Fellows Enhance What A Center For Digital Scholarship Does, Ben B. Chiewphasa
Transforming Libraries for Graduate Students
Multiple disciplines are increasingly embracing data science and digital scholarship. However, insufficient training for digital and computational methodologies within subject/departmental silos means that these needs often get overlooked. Opportunities for learning how to teach technical concepts (i.e., how to handle troubleshooting, live participatory coding, etc.) are also rare or non-existent via departmental offerings. To respond to these needs, the Navari Family Center for Digital Scholarship launched its Pedagogy Fellowship Program in Fall 2021 where Notre Dame PhD students/candidates build their instructional expertise and experience related to digital scholarship with an added bonus of enhancing their competitiveness on the job market. …
Ingredient Classification Using Food Ontology, Ricky Flores
Ingredient Classification Using Food Ontology, Ricky Flores
UNO Student Research and Creative Activity Fair
A food label provides some of the most crucial information for a food product. The food label is a key resource for many health-conscious consumers for understanding ingredients. It is also vital for individuals to avoid food allergens or help patients follow dietary recommendations. While the food labels in the United States are regulated by the Food and Drug Administration (FDA) many labels contain additional information or statements that are not regulated. Moreover, the food label may be complex or contain terminology that the layperson may not understand. Evidence has indicated that consumers often find nutrition labels confusing, especially when …
Session 5: Equipment Finance Credit Risk Modeling - A Case Study In Creative Model Development & Nimble Data Engineering, Edward Krueger, Landon Thompson, Josh Moore
Session 5: Equipment Finance Credit Risk Modeling - A Case Study In Creative Model Development & Nimble Data Engineering, Edward Krueger, Landon Thompson, Josh Moore
SDSU Data Science Symposium
This presentation will focus first on providing an overview of Channel and the Risk Analytics team that performed this case study. Given that context, we’ll then dive into our approach for building the modeling development data set, techniques and tools used to develop and implement the model into a production environment, and some of the challenges faced upon launch. Then, the presentation will pivot to the data engineering pipeline. During this portion, we will explore the application process and what happens to the data we collect. This will include how we extract & store the data along with how it …